Natural Language Processing is an area of artificial intelligence that studies how computers interact with human languages.
All of what makes up this discipline include speech recognition, text analysis, speech synthesis, dialogue systems, and other subfields.
And, as this course becomes a more important component of software, the demand for it to be taken as a course grows. Therefore, see the best natural language processing courses you can take in 2022.
Table of contents
- Who Should Take Natural Language Processing Courses?
- What are the Requirements to Take Natural Language Processing Courses?
- Best Natural Language Processing Courses Online
- #1. Data Science: Natural Language Processing in Python
- #2. Natural Language Process Specialization
- #3. Deep Learning: Advanced Natural Language processing and RNNs
- #4. Natural language Processing (NLP) with BERT
- #5. Natural Language Processing Course (NLP) (edX)
- #6. Natural Language Processing Fundamentals in Python (Datacamp)
- #7. Natural Language Processing/HSE
- #8. Natural Language Processing/YSDA
- #9. A Code-First Introduction to Natural Language Processing
- #10. Natural Language Processing
Who Should Take Natural Language Processing Courses?
The relevance of the natural language processing courses has become obvious that it wouldn’t hurt to take a course on it to brush up your skills.
You should take this course if you have the interest to increase your knowledge base. So, you’ll be able to communicate with experts in the field.
If you already work in data science, remaining current is critical. Hence, enrolling in NLP courses is necessary to keep your skills current.
What are the Requirements to Take Natural Language Processing Courses?
Basically, these online courses exist in different categories according to their levels of difficulty. All you need to do is check on the landing pages of courses that interest you to see if there are any enrollment requirements.
Most times, anyone can sign up, and there are no academic requirements. But, some courses require that you have background knowledge of programming.
The more advanced courses require some academic knowledge of calculus, elementary linear algebra, and maths.
Best Natural Language Processing Courses Online
Without further ado, here is a list of the best online training courses for learning the Natural Language Process (NLP) in 2022.
These are the greatest courses available on online sites such as Udemy and Coursera, and they were produced by experts and are trusted by many developers all around the world.
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#1. Data Science: Natural Language Processing in Python
This online Udemy course focuses on transforming you into a natural language processing expert with over nine hours of video content.
There is no requirement to enrol for this online course and you will learn practical lessons about NLP and how to develop your own.
This course will teach you the following:
- Creation of NLP-based applications
- NLTK library and how to use it
- How to the Python programming language to apply sophisticated techniques to your data
Also, you will create various natural languages processing-based applications such as a spam detector, sentiment analysis app, article spinner and lots more.
#2. Natural Language Process Specialization
You will find this online course on Coursera and it is likely the most comprehensive natural language processing course on the internet, teaching you how to use deep learning frameworks in NLP and the Python Programming Language.
You will encounter some advanced topics like sentiment analysis, machine translation, word embedding, etc.
They’ll help you achieve massive results applying what you’ve learnt in the course.
This course will teach you:
- How to make Natural Language Processing (NLP) applications.
- The Tensorflow library and how to utilize it.
#3. Deep Learning: Advanced Natural Language processing and RNNs
Rather than just learn ‘how to use’, this Udemy online course focuses more on how to develop and grasp the intricacies of an API.
By taking this course on natural language processing, you will fully understand what happens inside the model. And, if you require more than a peripheral glance into machine learning models, you should take this course.
At the end of this course, you will create apps for challenges such as:
- Neural machine translation
- Answer to question
- Categorisation of text
#4. Natural language Processing (NLP) with BERT
Despite this course being free and short, it gives you a good understanding of technology and gives you room to learn how to perform semantic analysis movie reviews.
This is a Google-developed pre-trained NLP model, and you’ll need to meet BERT if you wish to work in natural language processing.
That you will use Google’s Colab browser-based notebook environment is one of the coolest aspects of this brief free online natural language processing course.
The interface is fully cloud-based, and it’s a great tool to have on hand.
At the end of the lesson, you’ll go over data reprocessing, developing, and training the BERT model.
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#5. Natural Language Processing Course (NLP) (edX)
The edX platform offers this NLP online course to give you an overview of the strategies for related machine learning operations.
Aside from that, you’ll learn about statistical machine translation and DSSM and how you can use them to solve real-world situations.
The course will end with a practical on how you can use what you learned.
#6. Natural Language Processing Fundamentals in Python (Datacamp)
The basics and bolts of NLP, such as how to detect words and recover information from a text, will be covered in this clever course.
You’ll learn how to make fake news classifiers and use standard libraries to address problems in the practical exercises.
It will prepare you to take on intermediate and advanced topics in this field after completing the program.
#7. Natural Language Processing/HSE
Five academic members from the Higher School of Economics present this free online course on NLP through Coursera.
It’s part of the Advanced Machine Learning Specialization, but you can audit it for free.
This is an advanced course on natural language processing that takes about 32 hours to complete and is one of the most extensive on our list.
You will learn about a wide range of activities in NLP, from basic lessons to advanced topics, through a series of on-demand videos, texts, and quizzes.
Nearly half of individuals who completed the free online NLP course received a tangible career advantage, such as a new job, promotion, or pay increase, according to previous students.
You can also get a shareable certificate upon completion but it comes at a fee.
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#8. Natural Language Processing/YSDA
The free online natural language processing course spans four weeks and includes topics such as word embeddings, text categorization, language modeling, Seq2seq, and attention.
Students can begin wherever they want and finish wherever they want. Although, there is no certificate for the course.
On the page, Voita also has NLP games, related research papers, and exercises to help you learn to think like a research scientist.
#9. A Code-First Introduction to Natural Language Processing
This is AI geekery at its finest, presented to you by the famous University of San Francisco faculty members who devised a top-down approach to AI learning.
The goal is to provide students with a big picture of NLP by releasing practical code first, and then the lower-level details of Natural Language Processing later.
However, if you do not have technical knowledge of what natural language processing coding entails, you may not find your feet easily.
So, it is expedient to take an introductory course on NLP before taking up this course.
#10. Natural Language Processing
The National Research University Higher School of Economics offers this course via Coursera.
This course covers a wide range of NLP tasks, from basic to complex, including sentiment analysis, summarization, and dialogue state tracking, to mention a few.
You will spot NLP tasks in your daily job, offer ways, and determine which techniques are likely to work well after finishing this course.
The final project will provide you with hands-on experience with problems such as text classification, named entity identification, and duplication detection.
Natural Language Processing has so many practical applications and applies to so many real-world products.
And, whether you pursue a career in psychology, medicine, law, or something else, NLP will inevitably cross with your work and most likely sooner rather than later.
So, enrolling in any of the best natural language processing courses is a fantastic way to start a career.
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